PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors
PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors explores A framework for training humanoid robots to traverse complex terrains with natural gaits using reference trajectories and self-supervised depth perception.. Commercial viability score: 7/10 in Robotics.
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